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    "name": "ipython",
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
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   "version": "3.6.10-final"
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 "cells": [
  {
   "cell_type": "code",
   "execution_count": 527,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch.nn as nn\n",
    "import torch\n",
    "from torch.autograd import Variable\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "from torchvision.transforms import transforms\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from PIL import Image\n",
    "import time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 541,
   "metadata": {},
   "outputs": [],
   "source": [
    "def image_loader(path)->list:\n",
    "    if os.path.exists(path):\n",
    "        print('dirs exits')\n",
    "    else:\n",
    "        print('0')\n",
    "    r = []\n",
    "    for root,dirs,files_ in os.walk(path):\n",
    "        print(root,len(files_))\n",
    "        for file in files_:\n",
    "            img = Image.open(root+'/'+file)\n",
    "            img = img.convert('L')\n",
    "            #将图片缩小到指定大小\n",
    "            # 图像归一化\n",
    "            transform_GY = transforms.ToTensor()#将PIL.Image转化为tensor，即归一化。\n",
    "            # 注：shape 会从(H，W，C)变成(C，H，W)\n",
    "            \n",
    "            # 图像标准化\n",
    "            transform_BZ=  transforms.Normalize((0.1307,),(0.1307,))\n",
    "            transform_RS = transforms.Resize((80,80), interpolation=2)\n",
    "            transform_compose= transforms.Compose([\n",
    "            # 先缩放,再归一化再标准化\n",
    "                transform_RS,\n",
    "                transform_GY,\n",
    "                transform_BZ\n",
    "            ])\n",
    "\n",
    "            img_result = transform_compose(img)\n",
    "            r.append(img_result.numpy())\n",
    "\n",
    "    return r, files_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 529,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "dirs exits\nD:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\0 100\ndirs exits\nD:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\1 100\n"
     ]
    }
   ],
   "source": [
    "im_list_neg,_ = image_loader(r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\0')\n",
    "im_list_pos,_ = image_loader(r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 530,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "def randowmDate(dates,labels):\n",
    "    temp = list(zip(dates,labels))\n",
    "    random.shuffle(temp)\n",
    "    res_dates,res_labels=zip(*temp)\n",
    "    \n",
    "    return np.array(res_dates),np.array(res_labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 531,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dataToTensor(im_np_neg:np.ndarray, im_np_pos:np.ndarray, needTest:str):\n",
    "    #将图像的三阶矩阵降为二阶矩阵\n",
    "    im_np_neg = im_np_neg.reshape(100,80*80)\n",
    "    im_np_pos = im_np_pos.reshape(100,80*80)\n",
    "    #生成图片的分类标签\n",
    "    im_np_neg_labels = np.zeros((1,len(im_np_neg)))\n",
    "    im_np_pos_labels = np.ones((1,len(im_np_pos)))\n",
    "    #将正负两个标签的二维矩阵合并成一个矩阵\n",
    "    images = np.append(im_np_pos,im_np_neg,axis=0)\n",
    "    labels = np.append(im_np_pos_labels,im_np_neg_labels, axis=1).flatten()\n",
    "    #随机打乱样本\n",
    "    index = [i for i in range(images.shape[0])]\n",
    "    np.random.shuffle(index)\n",
    "    images = images[index]\n",
    "    labels = labels[index]\n",
    "    images = torch.tensor(images)\n",
    "    labels = torch.LongTensor(labels)\n",
    "    if needTest == 't':\n",
    "        #划分训练集和测试集\n",
    "        test_rate = 0.3\n",
    "        bound = int(len(images)*(1-test_rate))\n",
    "        images_trains = images[:bound,]\n",
    "        labels_trains = labels[:bound,]\n",
    "        images_tests = images[bound+1:,]\n",
    "        labels_tests = labels[bound+1:,]\n",
    "        \n",
    "        return images_trains,labels_trains,images_tests,labels_tests\n",
    "    return images, labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 567,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Model(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(Model,self).__init__()\n",
    "\n",
    "        self.layer = nn.Sequential(\n",
    "            nn.Linear(80*80,80*80),\n",
    "            nn.ReLU(),\n",
    "            nn.Linear(80*80, 1024),\n",
    "            nn.ReLU(),\n",
    "            nn.Dropout(p=0.3),\n",
    "            nn.Linear(1024,2)\n",
    "        )\n",
    "    def forward(self, x):\n",
    "        x = self.layer(x)\n",
    "        return x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 568,
   "metadata": {},
   "outputs": [],
   "source": [
    "images_trains, labels_trains, images_tests, labels_tests = dataToTensor(np.array(im_list_neg), np.array(im_list_pos),'t')\n",
    "# images, labels = dataToTensor(np.array(im_list_neg), np.array(im_list_pos),'f')\n",
    "# images.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 570,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 571,
   "metadata": {},
   "outputs": [],
   "source": [
    "cost = nn.CrossEntropyLoss()\n",
    "optimizer = torch.optim.Adam(model.parameters())\n",
    "n_epochs = 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 572,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "-------Train begin--------\n",
      "epoch:1, Train Accuracy is:50.7143%\n",
      "epoch:2, Train Accuracy is:51.4286%\n",
      "epoch:3, Train Accuracy is:51.4286%\n",
      "epoch:4, Train Accuracy is:51.4286%\n",
      "epoch:5, Train Accuracy is:51.4286%\n",
      "epoch:6, Train Accuracy is:52.1429%\n",
      "epoch:7, Train Accuracy is:52.1429%\n",
      "epoch:8, Train Accuracy is:62.8571%\n",
      "epoch:9, Train Accuracy is:52.8571%\n",
      "epoch:10, Train Accuracy is:57.1429%\n",
      "epoch:11, Train Accuracy is:58.5714%\n",
      "epoch:12, Train Accuracy is:67.8571%\n",
      "epoch:13, Train Accuracy is:60.7143%\n",
      "epoch:14, Train Accuracy is:63.5714%\n",
      "epoch:15, Train Accuracy is:62.8571%\n",
      "epoch:16, Train Accuracy is:70.0000%\n",
      "epoch:17, Train Accuracy is:54.2857%\n",
      "epoch:18, Train Accuracy is:79.2857%\n",
      "epoch:19, Train Accuracy is:68.5714%\n",
      "epoch:20, Train Accuracy is:68.5714%\n",
      "epoch:21, Train Accuracy is:81.4286%\n",
      "epoch:22, Train Accuracy is:80.7143%\n",
      "epoch:23, Train Accuracy is:89.2857%\n",
      "epoch:24, Train Accuracy is:85.0000%\n",
      "epoch:25, Train Accuracy is:90.0000%\n",
      "epoch:26, Train Accuracy is:80.7143%\n",
      "epoch:27, Train Accuracy is:90.7143%\n",
      "epoch:28, Train Accuracy is:87.1429%\n",
      "epoch:29, Train Accuracy is:93.5714%\n",
      "epoch:30, Train Accuracy is:88.5714%\n",
      "epoch:31, Train Accuracy is:90.7143%\n",
      "epoch:32, Train Accuracy is:90.0000%\n",
      "epoch:33, Train Accuracy is:92.1429%\n",
      "epoch:34, Train Accuracy is:96.4286%\n",
      "epoch:35, Train Accuracy is:89.2857%\n",
      "epoch:36, Train Accuracy is:94.2857%\n",
      "epoch:37, Train Accuracy is:89.2857%\n",
      "epoch:38, Train Accuracy is:90.7143%\n",
      "epoch:39, Train Accuracy is:96.4286%\n",
      "epoch:40, Train Accuracy is:94.2857%\n",
      "epoch:41, Train Accuracy is:97.8571%\n",
      "epoch:42, Train Accuracy is:95.7143%\n",
      "epoch:43, Train Accuracy is:93.5714%\n",
      "epoch:44, Train Accuracy is:95.0000%\n",
      "epoch:45, Train Accuracy is:97.8571%\n",
      "epoch:46, Train Accuracy is:97.1429%\n",
      "epoch:47, Train Accuracy is:97.1429%\n",
      "epoch:48, Train Accuracy is:95.0000%\n",
      "epoch:49, Train Accuracy is:95.0000%\n",
      "epoch:50, Train Accuracy is:96.4286%\n",
      "epoch:51, Train Accuracy is:97.8571%\n",
      "epoch:52, Train Accuracy is:97.8571%\n",
      "epoch:53, Train Accuracy is:97.1429%\n",
      "epoch:54, Train Accuracy is:98.5714%\n",
      "epoch:55, Train Accuracy is:97.1429%\n",
      "epoch:56, Train Accuracy is:97.8571%\n",
      "epoch:57, Train Accuracy is:97.8571%\n",
      "epoch:58, Train Accuracy is:98.5714%\n",
      "epoch:59, Train Accuracy is:98.5714%\n",
      "epoch:60, Train Accuracy is:97.8571%\n",
      "epoch:61, Train Accuracy is:97.8571%\n",
      "epoch:62, Train Accuracy is:98.5714%\n",
      "epoch:63, Train Accuracy is:99.2857%\n",
      "epoch:64, Train Accuracy is:99.2857%\n",
      "epoch:65, Train Accuracy is:100.0000%\n",
      "epoch:66, Train Accuracy is:98.5714%\n",
      "epoch:67, Train Accuracy is:99.2857%\n",
      "epoch:68, Train Accuracy is:99.2857%\n",
      "epoch:69, Train Accuracy is:98.5714%\n",
      "epoch:70, Train Accuracy is:99.2857%\n",
      "epoch:71, Train Accuracy is:98.5714%\n",
      "epoch:72, Train Accuracy is:98.5714%\n",
      "epoch:73, Train Accuracy is:98.5714%\n",
      "epoch:74, Train Accuracy is:98.5714%\n",
      "epoch:75, Train Accuracy is:99.2857%\n",
      "epoch:76, Train Accuracy is:99.2857%\n",
      "epoch:77, Train Accuracy is:99.2857%\n",
      "epoch:78, Train Accuracy is:100.0000%\n",
      "epoch:79, Train Accuracy is:98.5714%\n",
      "epoch:80, Train Accuracy is:99.2857%\n",
      "epoch:81, Train Accuracy is:98.5714%\n",
      "epoch:82, Train Accuracy is:98.5714%\n",
      "epoch:83, Train Accuracy is:99.2857%\n",
      "epoch:84, Train Accuracy is:98.5714%\n",
      "epoch:85, Train Accuracy is:99.2857%\n",
      "epoch:86, Train Accuracy is:98.5714%\n",
      "epoch:87, Train Accuracy is:99.2857%\n",
      "epoch:88, Train Accuracy is:99.2857%\n",
      "epoch:89, Train Accuracy is:99.2857%\n",
      "epoch:90, Train Accuracy is:98.5714%\n",
      "epoch:91, Train Accuracy is:99.2857%\n",
      "epoch:92, Train Accuracy is:99.2857%\n",
      "epoch:93, Train Accuracy is:99.2857%\n",
      "epoch:94, Train Accuracy is:98.5714%\n",
      "epoch:95, Train Accuracy is:99.2857%\n",
      "epoch:96, Train Accuracy is:99.2857%\n",
      "epoch:97, Train Accuracy is:98.5714%\n",
      "epoch:98, Train Accuracy is:99.2857%\n",
      "epoch:99, Train Accuracy is:99.2857%\n",
      "epoch:100, Train Accuracy is:99.2857%\n",
      "-----Train Use time: 1m 1s\n"
     ]
    },
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x15b818a7358>]"
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     },
     "metadata": {},
     "execution_count": 572
    },
    {
     "output_type": "display_data",
     "data": {
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g9Gg72FpTY689/jhw1VV2QelEbljjypXegVTAHh84YNdGBYA337RRMgx3ovC0OdxFZCyAmwCcB+BsAF8TkREA5gBYpqojACyLPacs5GZtXL7cW7Z9OzBggE2lmziy5emnLZTXrbOTkebPt2kHkrVkAK8H39AQH+6jRnmfW1EBzJsH3HijDZ8konAEqdzPBLBSVQ+pagOANwF8A8DVABbE1lkAYFqgLaTADh0C3nij6fK6Ort3F6EGrHI/7TR7nBjuixbZaJfXXweqq4Hvf9/mX7/88uTf6z8hyQW6/3M3bADuuceq9nvvbfVuEVELgoT7OgBfFpE+ItINwFcBDALQT1WrACB23zfZm0VkloisEpFVtbW1ATaDUvmv/7ILQO/eHb/cPU8M98GD7XGfPkBhoYX7jh32AzF9OnD++dZKGTjQLo7RpUvy7y0s9F7zV+7FxXa1pCeftEm/brut6UgbIgqmzeGuqusB/B8AZQBeAfAhgIYW3xT//nmqWqqqpUVFRW3dDErDRx/ZwUvX43ZcuO/cabfGRgtxV7kD3sHPxYvtM779bVt+9tnWwrn//ua/V8QLbX+4iwBnnGH/AujZ0659SkThCnRAVVXnq+o5qvplAHsAbAZQLSIDACB2XxN8MykdmzYBzz7bdLkbdpj4D6S6Om8O9PJya7UcPepV7oA3bHHRImDSpPjhinl5qedQLy62g639+sUvd22au+7yLqtHROEJOlqmb+x+MIBrACwG8ByAGbFVZgBIEjeUCb/5jV1U+tix+OWuZ54Y7rt3AxMm2Jmo5eXeMMjEyr2mxiYGa+7AaUsuu8yGSYrEL7/8cuC884DZs1v/mUSUWtCLdTwtIn0AHANws6p+LiIPAHhCRGYC2A7g2qAbSempqrLKe9Mmu9wdYLM6uvZLsnAfOtSq7/Jyu1QdEF+5uwo7L89+OFrr7ruTL//Od+xGRJkRKNxV9cIky+oANHO9esqk6mq7d9cyBeLPME3WlikttQtoPPqoN549sXIHrNLmoRGi3MEzVCPEH+6O/zR/f7irWuVeWAhMnAgcPAi8/LJN0+s/IWn4cGur8KAnUW7hNVQjQjV5uG/caD31IUPiw/3QIeDIERvuOHGiLVu+HBg7Nv5z8/Pt5CUiyi2s3CPi4EHgiy/ssbueKWDhPny4nXVa4xu35PrwhYU2oVevXvYD4W/JEFHuYrhHhKvax4yxseqff27PN260g6JFRfGVuz/cRWzkChB/MJWIchfDPSJcuE+ZYvdr19qcLlu22EHRxHB3Uw/06WP3rjXDyp0oGhjuEZEY7mvW2OiXY8e8cK+rsyl4gfjKHfDCnZU7UTQw3CPChfs559hkXmvXesMgXbir2rh3wAt3V7lPnQo8+KBN30tEuY/hHhEu3IuKgHHjrHL3h3vf2PRtrjVTV2e99l6x2fY7dwZuv90ug0dEuY/hHhHV1VaFd+5s4b52rV3errDQlrsTkFy4795tFX5eXsdtMxFlDsM9Iqqrvcm5xo2zoZF/+5t3hqkLdzccsq7Oa8kQUfQw3CPCH+5nnWX3O3c2DXd/5e4OphJR9DDcI6Kmxgv3MWO8WRjdxF+uSveHOyt3ouhiuEeEv3IvKLCzTgGvcu/c2Q6e+g+osnInii6GewQcPgzs2+eNiAGs7w7EXwHJncjknzSMiKKJ4R4Bbhik/2pHF15o4T1smLfMhfuhQ/aDwLYMUXQx3CMgWbjPnm1nqHbu7C3r29fC3U09wMqdKLoY7hGQLNzz8oDu3ePXKyqyA6+JZ6cSUfQw3CMgWbgn4+aXcWPdWbkTRRfDPQJcuPsPqCZTVGQTh23ZYs8Z7kTRxXCPgOpquzTeSSe1vJ47kcldeo9tGaLoYrhHgP8Eppa4cF+/Pn7SMCKKHoZ7BPhPYGqJP9x79rTroxJRNDHcI6C6OnW/HfDWqapiv50o6hjuEZBu5e4PdIY7UbQx3HPcsWN2daV0wr1LFzvwCvBgKlHUMdxznBuznk64A17fnZU7UbQx3HNcuicwOS7cWbkTRRvDPQep2g1oe7izcieKNoZ7DvrBD4DJk60lw3AnomQY7jno/feB8nKb1nfVKlvGtgwR+THcc1B9PXDmmVa1P/SQXXmpoCC997qx7qzciaItULiLyA9F5CMRWScii0XkJBHpLSJlIrI5ds+T3EO2dy8waRLwxhsW1iUl6b938GC7Ly7OyKYRUZZoc7iLSDGAWwCUqupYAHkArgMwB8AyVR0BYFnsOYVo716bPmD8eGvRLFmS/nunTQNWroy/QhMRRU/Qtkw+gJNFJB9ANwC7AFwNYEHs9QUApgX8DvJpaAAOHPBORho4EBg9Ov335+UBEydmZtuIKHu0OdxVdSeAXwPYDqAKwF5VfRVAP1Wtiq1TBSDprCciMktEVonIqtra2rZuxgln3z67d+FORJRMkLZML1iVPhTAQAAFIjI93fer6jxVLVXV0iI3hINS2rvX7nv27NDNIKIsF6QtMwXAJ6paq6rHACwB8CUA1SIyAABi9zXBN/PE8fbbwGefNf+6C3dW7kTUkiDhvh3AJBHpJiIC4BIA6wE8B2BGbJ0ZAJ4Ntoknlq99DfjVr5p/neFOROlo8+UaVLVcRJ4CsBpAA4D3AcwD0B3AEyIyE/YDcG0YG3qi2LfPO+s0mfp6u2e4E1FLAl2LR1XvBXBvwuIjsCqeWqmhwW51dc2vw547EaWDZ6hmkSNH7H7PnubXYVuGiNLBcM8ihw/bPcOdiIJiuGcRV7m31JaprwdOPhno3LldNomIchTDPYu4yr2+Hjh+PPk6buoBIqKWMNyziAt3Va/9kmjvXrZkiCg1hnsWceEONN+aYbgTUToY7lnEH+7NHVStr2e4E1FqDPcskk64s+dOROlguGcRN1oGYFuGiIJhuGeRdCt3hjsRpcJwzyKpwv3oUeCLL9iWIaLUGO5ZJNVoGZ6dSkTpYrhnERfuBQXJK3eGOxGli+GeRVy4DxzIcCeiYBjuWcSFe3Fx8raMm8udPXciSoXhnkXcUMj+/Vm5E1EwDPcscvgwcNJJQJ8+DHciCobhnkUOHwa6drVwTzYzJC+xR0TpYrhnEVe59+5tM0O6MHdc5d6jR7tvGhHlGIZ7FvGHO9C0NbN3L3DKKUBeXvtvGxHlFoZ7FvH33IGmI2Y49QARpYvhnkVSVe719RwGSUTpYbhnkSNHUrdlWLkTUToY7lnEP1oGYFuGiNqO4Z5FXFvGtV5YuRNRWzHcs4gL97w8C3j23ImorRjuWcSFO9D0LFVVVu5ElD6Gexbxh3vv3vE998OHgWPHGO5ElB6GexZJDHd/5c55ZYioNRjuWeTIERstAzRty3C6XyJqDYZ7FmmpLcPKnYhao83hLiIjReQD322fiNwmIr1FpExENsfue4W5wVGl2jTc/TNDMtyJqDXaHO6qulFVx6vqeADnAjgE4BkAcwAsU9URAJbFnlMKx45ZwPtHywBeO4bhTkStEVZb5hIAW1V1G4CrASyILV8AYFpI3xEpe/YAjY3ec3eJPX/lDnitGfbciag1wgr36wAsjj3up6pVABC77xvSd0TG558DgwYBS5Z4y5oLd3dQlZU7EbVG4HAXkS4ArgLwZCvfN0tEVonIqtra2qCbkVMqKoBDh4BPP/WWueun+kfLAPHh3qkT0L17u20mEeWwMCr3KwCsVtXq2PNqERkAALH7mmRvUtV5qlqqqqVFRUUhbEbu2LnT7g8c8Jalasu4s1NF2mcbiSi3hRHu34LXkgGA5wDMiD2eAeDZEL4jUior7X7/fm9ZqrZMfT1bMkSUvkDhLiLdAEwF4Ose4wEAU0Vkc+y1B4J8RxSlU7n37GlVur8tw3AnonTlB3mzqh4C0CdhWR1s9Aw1I53K3c0M+dprdt3Ujz8GBg5s180kohwWKNypbdKp3AHg7LOBN94AVqyw55de2i6bR0QRwHDvAC7ck1XubrQMACxdCnzxhfe8oCDz20ZE0cC5ZUJQWwv89rd2hmk6XFvGX7m7oZD+yj0vz4Y+uhtHyhBRuhjuIXj8ceD224HNm1Ovu2+fF+ot9dyJiIJguIegJjaS31XkLXHrFBSk7rkTEbUVwz0E7gRb10tviVtn5EhW7kSUOQz3ELhwb03lPmqUVe6uT89wJ6IwMdxD0NbKvbHRGw3DcCeiMDHcQ9Dayr2w0G6A13c/fNgmBsvn4FQiCgHDPQStrdyLi73ZHV3f/cgRVu1EFB6Ge0DHj3szN6ZbuZeU2JQCQHzlznAnorAw3AOqq7ODor17A9XVdrm8ljRXuTPciShMDPeAXEtmwgQL+aqq5tc9csTWZ+VORJnGcA/IH+5Ay333XbvsnpU7EWUawz0gF+7jx9t9S31391pzlbt/0jAioiAY7gG1pnJ3r3G0DBFlGkdVB+TCfcQIC+eWKncX7iUlwMkn22P23IkoE1i5B1RbC/TqBXTubBV5S5V7ZaVNGNajB9Cli72HPXciygSGe0A1NUBRkT0uKUlduZeUePOyn3IKK3ciygyGe0C1tV64J1buqkBZmXchjspKW8fp3p2VOxFlBsM9oNpaoG9fe1xSYuHuZnp84QW77unXv24VuqvcncTKnaNliCgsDPeAEiv3o0eB3bvt+d/+Zr31ZcuAqVNtnDsrdyJqDwz3JFavBl5/PfV6jY02/YC/5w54ffeyMmDKFOCpp+wzGxriw91fuXMoJBGFieGexD33ALNnp17v889t4jB/5Q5Y+2X7dmDTJgv3b3wDeOklYNgwYOJE7/2s3IkoUzjOPYndu73x6y1x6ySr3N11VadOtftLLgG2bo1/v6vcGxutncNwJ6KwMNyT2LPH2i2NjXYBjeYkhnu/frb+zp0W5P37A2PGNP9+V7m70TQMdyIKC9sySbhg37u35fVcde7CPT8fGDAA2LEDWLrUWjJuTHsyrnJ3l9jjaBkiCgvDPUFjo/XSAW/US3MSK3fA+u6vvmqvuZZMc7p3t2B3B1VZuRNRWBjuCfbu9cappxvu7nqogPXd3ZzuU6a0/H43M6T7HoY7EYWF4Z7AXTIv8XEytbXAqafGt1PciJnRo4GBA1t+v5sZkuFORGFjuCfYs8d7nE7l7m/JAN6ImVQtGYCVOxFlDsM9gT/c06ncg4S7q9xde4fhTkRhCRTuItJTRJ4SkQ0isl5EJotIbxEpE5HNsfteYW1se/AHelsq96uuAn77W+Cyy1J/F9syRJQpQSv33wN4RVVHATgbwHoAcwAsU9URAJbFnucMV7l36ZI63P3T/TrduwO33WbDIlNxbRlXuXMoJBGFpc3hLiI9AHwZwHwAUNWjqloP4GoAC2KrLQAwLdgmti8X7sOGtdyWUbXwTwz31mDlTkSZEqRyHwagFsCjIvK+iPxRRAoA9FPVKgCI3fdN9mYRmSUiq0RkVW065/q3k7o6GwHTr1/LlXt9vU0EFiTceUCViDIlSLjnAzgHwB9UdQKAg2hFC0ZV56lqqaqWFgVJyJDt2QP06WNj11sK92QnMLUWK3ciypQg4V4JoFJVy2PPn4KFfbWIDACA2H1NsE1sX3v2AL17W8C31JYJI9wLCuI/i+FORGFpc7ir6mcAdojIyNiiSwB8DOA5ADNiy2YAeDbQFrYzF+6FhRbu7mzVRC6Q+yZtOqWnUycLeFbuRBS2oLNC/gDAIhHpAqACwA2wH4wnRGQmgO0Arg34He2qrs4OphYW2lzte/cCPXs2XS+Myh2wvvvBg/aYo2WIKCyBwl1VPwBQmuSlS4J8bkfyt2UAq6qThfuKFRbGQSp3wOu7Awx3IgoPz1D1cTNCurYMkPyg6rp1wMKFwM03Bw9kN2Kmc2cgLy/YZxEROQx3n/p667G70TJA8oOqc+daxT13bvDvdJU7++1EFCaGu487gSmxLeO3YgXw/PPAnXd66wThKneGOxGFieHu4w/3ZG0ZVWDOHLt83q23hvOdrNyJKBN4DVUf14Lp0wfo0cPmh/G3ZV54AfjHP4BHHvHGqAflKnceTCWiMLFy9/FX7iIW8v7K/ZlnrKK/8cbwvpOVOxFlAsPdxx/ugHcik7NmDTBhgo1sCQt77kSUCQx3Hxfkbly7v3JvaAA++gg466xwv5OVOxFlAsPdZ88eC3Y3F7t/8rAtW4DDh4Fx48L9TlbuRJQJDHcfd3aq42/LrF1r92GHOyt3IsoEhrtPYri7toyq9dvz8oAzzwz3OzlahogygeHuU1cXf2KSf/KwNWuAkSPDr7BZuRNRJjDcfZJV7oCF/po14R9MBdhzJ6LMYLj7JOu5A0BFBfDpp+H32wFW7kSUGQz3mOPHbUbIxLYMALzxht1nItxZuRNRJjDcY/butQOnydoyr79u96zciShXMNxjEs9OBbzK/d13gVNPBQYNCv97TznFgt3/vUREQXHisBj/pGHOqafa8MeGBjuYKhL+93bpArzzDjB0aPifTUQnLlbuMckqdzd5GJCZloxz1lnxl9sjIgqK4R6TLNwBrzWTyXAnIgobwz0mWVvG/5zhTkS5hOEe4yp3NyOk4yr3sWPbdXOIiALhAdUYNyNkXl788vHjgaoqbzw6EVEuYOUek3h2qnPPPcBbb7X/9hARBXFCV+4LFwKrVtnjt97yWjCJMjEEkogok07IcFcF5s4FHnjAhiC6Vsy113bsdhERheWEC/fjx4HZs4FHHgFmzQIefrhpn52IKNdFJtxraoA77/Qui9ec6mqbTuDOO4H772fLhYiiKRLhvn07MGUKsGMHMHp0y+uKAL//PXDLLe2zbUREHSHnw33DBmDqVGD/fmDpUuD88zt6i4iIOl5Oh/uHH1rFnpcHvPkmcPbZHb1FRETZIdA4dxH5VETWisgHIrIqtqy3iJSJyObYfa9wNrWp/v2BCROAv/+dwU5E5BfGSUwXq+p4VS2NPZ8DYJmqjgCwLPY8I/r1A159FRgxIlPfQESUmzJxhurVABbEHi8AMC0D30FERC0IGu4K4FUReU9EZsWW9VPVKgCI3fdN9kYRmSUiq0RkVW1tbcDNICIiv6AHVM9X1V0i0hdAmYhsSPeNqjoPwDwAKC0t1YDbQUREPoEqd1XdFbuvAfAMgPMAVIvIAACI3dcE3UgiImqdNoe7iBSIyCnuMYBLAawD8ByAGbHVZgB4NuhGEhFR6wRpy/QD8IzY+fv5AP6qqq+IyLsAnhCRmQC2A+B0XERE7azN4a6qFQCajC5X1ToAlwTZKCIiCoYX6yAiiiBR7fiBKiJSC2BbgI8oBJBiPsjIORH3GTgx95v7fOJo7X6fpqpFyV7IinAPSkRW+c6QPSGciPsMnJj7zX0+cYS532zLEBFFEMOdiCiCohLu8zp6AzrAibjPwIm539znE0do+x2JnjsREcWLSuVOREQ+DHciogjK6XAXkctFZKOIbBGRjF0UpCOJyCAReV1E1ovIRyJya2x5u13xqiOJSJ6IvC8iL8SeR3q/RaSniDwlIhti/80nR32fAUBEfhj7/3udiCwWkZOiuN8i8j8iUiMi63zLmt1PEbkrlm8bReSy1nxXzoa7iOQBeAjAFQBGA/iWiIzu2K3KiAYAP1LVMwFMAnBzbD/b7YpXHexWAOt9z6O+378H8IqqjoJN77EeEd9nESkGcAuAUlUdCyAPwHWI5n7/CcDlCcuS7mfs7/l1AMbE3vNwLPfSkrPhDpteeIuqVqjqUQCPwa4CFSmqWqWqq2OP98P+shfjBLjilYiUALgSwB99iyO73yLSA8CXAcwHAFU9qqr1iPA+++QDOFlE8gF0A7ALEdxvVV0OYE/C4ub282oAj6nqEVX9BMAWWO6lJZfDvRjADt/zytiyyBKRIQAmAChHmle8ynG/A/ATAI2+ZVHe72EAagE8GmtF/TE2nXaU9xmquhPAr2GzyFYB2KuqryLi++3T3H4GyrhcDndJsiyy4zpFpDuApwHcpqr7Onp7Mk1EvgagRlXf6+htaUf5AM4B8AdVnQDgIKLRimhRrMd8NYChAAYCKBCR6R27VVkhUMblcrhXAhjke14C+6dc5IhIZ1iwL1LVJbHFUb/i1fkArhKRT2Ett6+IyEJEe78rAVSqanns+VOwsI/yPgPAFACfqGqtqh4DsATAlxD9/Xaa289AGZfL4f4ugBEiMlREusAOPDzXwdsUOrGrocwHsF5Vf+N7KdJXvFLVu1S1RFWHwP7bvqaq0xHh/VbVzwDsEJGRsUWXAPgYEd7nmO0AJolIt9j/75fAji1Ffb+d5vbzOQDXiUhXERkKYASAd9L+VFXN2RuArwLYBGArgJ929PZkaB8vgP1TbA2AD2K3rwLoAzuyvjl237ujtzWDfwb/C8ALsceR3m8A4wGsiv33/r8AekV9n2P7/b8BbIBdqvMvALpGcb8BLIYdVzgGq8xntrSfAH4ay7eNAK5ozXdx+gEiogjK5bYMERE1g+FORBRBDHcioghiuBMRRRDDnYgoghjuREQRxHAnIoqg/we+36YPHDeJXgAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "t = time.time()\n",
    "print('-------Train begin--------')\n",
    "\n",
    "running_loss_s = []\n",
    "running_corrects = []\n",
    "for epoch in range(n_epochs):\n",
    "    running_correct=0\n",
    "    \n",
    "    images,labels = Variable(images_trains),Variable(labels_trains)\n",
    "    outputs = model(images)\n",
    "    _,pred_labels = torch.max(outputs, 1)\n",
    "    optimizer.zero_grad()\n",
    "    loss = cost(outputs, labels)\n",
    "    loss.backward()\n",
    "    optimizer.step()\n",
    "\n",
    "    running_loss_s.append(loss.data.item())\n",
    "    running_correct += torch.sum(pred_labels == labels.data)\n",
    "    running_corrects.append(100*running_correct.item()/len(images))\n",
    "\n",
    "    print(\"epoch:{}, Train Accuracy is:{:.4f}%\".\\\n",
    "        format(epoch+1,100*running_correct.item()/len(images)))\n",
    "t_ = time.time() - t\n",
    "print('-----Train Use time: {:.0f}m {:.0f}s'.format(t_ // 60, t_ % 60))\n",
    "plt.plot([i for i in range(n_epochs)],running_corrects,'b-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 573,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "-------Test begin--------\n",
      "epoch:1, Test Accuracy is:98.31%\n",
      "epoch:2, Test Accuracy is:94.92%\n",
      "epoch:3, Test Accuracy is:98.31%\n",
      "epoch:4, Test Accuracy is:96.61%\n",
      "epoch:5, Test Accuracy is:98.31%\n",
      "epoch:6, Test Accuracy is:98.31%\n",
      "epoch:7, Test Accuracy is:96.61%\n",
      "epoch:8, Test Accuracy is:98.31%\n",
      "epoch:9, Test Accuracy is:98.31%\n",
      "epoch:10, Test Accuracy is:98.31%\n",
      "-----Test Use time: 0m 1s\n",
      "Average Test Accuracy : 97.63%\n"
     ]
    }
   ],
   "source": [
    "t = time.time()\n",
    "print('-------Test begin--------')\n",
    "test_corrects = []\n",
    "for epoch in range(10):\n",
    "    test_correct = 0\n",
    "\n",
    "    images, labels = Variable(images_tests),Variable(labels_tests)\n",
    "    outputs = model(images)\n",
    "    _,pred_labels = torch.max(outputs,1)\n",
    "    test_correct += torch.sum(pred_labels == labels)\n",
    "    test_corrects.append(100*test_correct.item()/len(images))\n",
    "    print(\"epoch:{}, Test Accuracy is:{:.2f}%\".\\\n",
    "          format(epoch+1,100*test_correct.item()/len(images)))\n",
    "t_ = time.time() - t\n",
    "print('-----Test Use time: {:.0f}m {:.0f}s'.format(t_ // 60, t_ % 60))\n",
    "\n",
    "print('Average Test Accuracy : {:.2f}%'.format(np.average(test_corrects)))\n",
    "# plt.plot([i for i in range(10)], test_corrects,'r-')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 544,
   "metadata": {},
   "outputs": [],
   "source": [
    "def detaction(path)->bool:\n",
    "    #path 为图像目录的路径\n",
    "\n",
    "    #注意：这里的files_只是图片名的集合，后续处理，需要处理成绝对路径\n",
    "    images_list,files_ = image_loader(path)\n",
    "    images = np.array(images_list).reshape(-1,80*80)\n",
    "    images = torch.tensor(images)\n",
    "    img_ = Variable(images)\n",
    "    outputs = model(img_)\n",
    "    _,pred_y = torch.max(outputs, 1)\n",
    "    print(path+'\\\\'+files_[10])\n",
    "    def test_and_show():\n",
    "        index = 11\n",
    "        print(pred_y[index])\n",
    "        t_img = Image.open(path+'\\\\'+files_[index])\n",
    "        plt.imshow(t_img)\n",
    "    test_and_show()\n",
    "    pred_y_list = pred_y.numpy().tolist()\n",
    "    for i,pred_value in enumerate(pred_y_list):\n",
    "        if pred_value == 0:\n",
    "            os.remove(path+'\\\\'+files_[i])\n",
    "            print('remove : '+path+'\\\\'+files_[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 559,
   "metadata": {
    "tags": [
     "outputPrepend"
    ]
   },
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "ses\\imageCrop\\rice_leaf_diseases\\Leaf smut\\DSC_0509.jpg\\image-23.jpg\n",
      "remove : D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Leaf smut\\DSC_0509.jpg\\image-24.jpg\n",
      "remove : D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Leaf smut\\DSC_0509.jpg\\image-25.jpg\n",
      "remove : D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Leaf smut\\DSC_0509.jpg\\image-26.jpg\n",
      "remove : D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Leaf smut\\DSC_0509.jpg\\image-27.jpg\n",
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\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "\n",
    "# detaction(r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Bacterial leaf blight\\DSC_0367.JPG')\n",
    "\n",
    "root_paths=(r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Bacterial leaf blight',r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Brown spot',\n",
    "r'D:\\GitHub\\rich diseases\\imageCrop\\rice_leaf_diseases\\Leaf smut')\n",
    "# for path_ in root_paths:\n",
    "#     for root,dirs,fileNames in os.walk(path):\n",
    "#             print(root)\n",
    "for path in root_paths:\n",
    "    for dir_ in os.listdir(path):\n",
    "        detaction(path+'\\\\'+dir_)\n",
    "\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}